I think it's partially excusable. Most LP solvers target large-scale instances, but instances that still fit in RAM. Think single-digit millions of variables and constraints, maybe a billion nonzeros at most. PDLP is not designed for this type of instances and gets trounced by the best solvers at this game [1]: more than 15x slower (shifted geometric mean) while being 100x less accurate (1e-4 tolerances when other solvers work with 1e-6).
PDLP is targeted at instances for which factorizations won't fit in memory. I think their idea for now is to give acceptable solutions for gigantic instances when other solvers crash.
PDLP is targeted at instances for which factorizations won't fit in memory. I think their idea for now is to give acceptable solutions for gigantic instances when other solvers crash.
[1] https://plato.asu.edu/ftp/lpfeas.html